公开(公告)号：US20250005424A1

公开(公告)日：2025-01-02

申请号：US18758727

申请日：2024-06-28

Applicant: Google LLC

Inventor： Michael Gabriel Newman ,  Kevin Satzinger ,  Daniel Thomas Sank ,  Nathan Cody Jones

IPC: G06N10/70 ,  G06N10/60

Abstract: Methods, systems, and apparatus for enhanced decoding using in-phase and quadrature information. In one aspect, a method includes obtaining in-phase and quadrature values for multiple measurement operations in a quantum error correction code for a quantum computation; classifying measurement outcomes of the multiple measurement operations using respective in-phase and quadrature values; generating a detector graph of nodes and edges, wherein the detector graph labels detection events that occur in the classified measurement outcomes; assigning weights to the edges of the detector graph using posterior probability distributions of the classified measurement outcomes to generate a weighted detector graph; and executing a decoding process on the weighted detector graph to compute a decoding output of the decoding process, wherein the decoding output predicts an occurrence of errors in the quantum computation.

公开(公告)号：US20250148343A1

公开(公告)日：2025-05-08

申请号：US18352555

申请日：2023-07-14

Applicant: Google LLC

Inventor： Benjamin Villalonga Correa ,  Sergio Boixo Castrillo ,  Michael Gabriel Newman

IPC: G06N10/70 ,  G06N10/40

Abstract: An enhanced matrix product state-based decoder is generated and employed to almost optimally detect and correct errors within a quantum computing and information processing system. The decoder takes as input a detector level error model that describes physical error channels and a set of error detections. This error model is improved using experimental data.

公开(公告)号：US20250165844A1

公开(公告)日：2025-05-22

申请号：US18750997

申请日：2024-06-21

Applicant: Google LLC

Inventor： Michael Gabriel Newman

IPC: G06N10/70

Abstract: Methods, systems, and apparatus for predicting an occurrence of errors in a quantum computation. In one aspect, a method includes updating edge weights of a second quantum error correction detector graph by performing a local search of a first quantum error correction detector graph, wherein performing the local search comprises, for each detection event in the first quantum error correction detector graph, reweighting complementary edges in the second quantum error correction detector graph using single-edge errors on an edge that connects the detection event to a nearest other detection event; and executing a decoding process on the second quantum error correction detector graph to compute a decoding output of the decoding process, wherein the decoding output predicts the occurrence of errors in the quantum computation.

公开(公告)号：US20250068955A1

公开(公告)日：2025-02-27

申请号：US18237331

申请日：2023-08-23

Applicant: Google LLC

Inventor： Andrew W. Senior ,  Francisco Javier Hernandez Heras ,  Thomas Bastian Edlich ,  Alexander James Davies ,  Johannes Karl Richard Bausch ,  Kevin Satzinger ,  Michael Gabriel Newman

IPC: G06N10/70

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting errors in a computation performed by a quantum computer. In one aspect, a method comprises obtaining error correction data for each of a plurality of time steps during the computation; and processing a respective input for each of a plurality of updating time steps using one or more machine learning decoder models to generate a prediction of whether an error occurred in the computation, wherein each updating time step corresponds to one or more of the time steps and wherein the respective input for each of the plurality of updating time steps is generated from the error correction data for the corresponding one or more time steps.